Thomas Rückstieß

According to our database, Thomas Rückstieß authored at least 11 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data.

Thomas Rückstieß, Robin Vujanic

CoRR, March, 2026

LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations.

Robin Vujanic, Thomas Rückstieß

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2024

ORIGAMI: A generative transformer architecture for predictions from semi-structured data.

Thomas Rückstieß, Alana Huang, Robin Vujanic

CoRR, 2024

2016

Reinforcement Learning in Supervised Problem Domains.

Thomas Frank Rückstieß

PhD thesis, 2016

2013

Minimizing data consumption with sequential online feature selection.

Thomas Rückstieß, Christian Osendorfer, Patrick van der Smagt

Int. J. Mach. Learn. Cybern., 2013

2011

Sequential Feature Selection for Classification.

Thomas Rückstieß, Christian Osendorfer, Patrick van der Smagt

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010

Exploring parameter space in reinforcement learning.

Thomas Rückstieß, Frank Sehnke, Tom Schaul, Daan Wierstra, Yi Sun, Jürgen Schmidhuber

Paladyn J. Behav. Robotics, 2010

Parameter-exploring policy gradients.

Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber

Neural Networks, 2010

PyBrain.

Tom Schaul, Justin Bayer, Daan Wierstra, Yi Sun, Martin Felder, Frank Sehnke, Thomas Rückstieß, Jürgen Schmidhuber

J. Mach. Learn. Res., 2010

2008

State-Dependent Exploration for Policy Gradient Methods.

Thomas Rückstieß, Martin Felder, Jürgen Schmidhuber

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Policy Gradients with Parameter-Based Exploration for Control.

Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber

Proceedings of the Artificial Neural Networks, 2008